Change in Entomofauna Composition Across a Forest-Filed Transition and Kortright Conservation Area
Bibliographic record
Abstract
Forest fragmentation is becoming increasingly common in today’s anthropocentric world, pushing the study of ecotones and their interactions to the forefront of conservation biology. For this study, arthropods—ideal organisms for studying the environment—were sampled along three field-forest transitions at the Kortright Conservation Area in Woodbridge, Ontario (Canada) in order to investigate any changes in mean ordinal diversity or abundance. Various capture techniques are also examined in order to determine overall effectiveness. Results show that there is not a significant change in mean ordinal diversity over distance. However, there is a statistically significant negative linear relationship between arthropod abundance and distance. Results also show that yellow pan traps are the most effective method for capturing arthropods in this setting. This indicates that grasslands should be of primary concern when formulating a conservation strategy plan directed at arthropod biodiversity, and that painted pan traps are very important tools for entomological sampling.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".